A Hybrid Algorithm for the Prediction of Computer Vision Syndrome in Health Personnel Based on Trees and Evolutionary Algorithms.
Eva María Artime RíosFernando Sánchez LasherasAna Suárez SánchezFrancisco Javier Iglesias-RodríguezMaría del Mar Seguí CrespoPublished in: HAIS (2018)
Keyphrases
- hybrid algorithm
- evolutionary algorithm
- differential evolution
- simulated annealing
- computer vision
- initial population
- genetic algorithm
- optimization method
- particle swarm optimization
- biogeography based optimization
- population based incremental learning
- multi objective
- differential evolution algorithm
- optimization problems
- evolutionary computation
- particle swarm optimization pso
- hybrid method
- ant algorithm
- tabu search
- particle swarm
- artificial bee colony algorithm
- hybrid algorithms
- convergence speed
- premature convergence
- mutation operator
- hybrid particle swarm optimization
- multi objective optimization
- benchmark problems
- genetic programming
- genetic operators
- optimization algorithm
- standard test problems
- optimal solution
- evolution strategy
- fitness function
- metaheuristic
- evolutionary process
- particle swarm algorithm
- constrained optimization problems
- test functions
- combinatorial optimization
- crossover operator
- swarm intelligence
- imperialist competitive algorithm
- genetic algorithm ga
- global search
- objective function
- nonlinear integer programming